Summary of Yesterday

• Opening:
• Closing:
• Difference of Opening & Closing:
• Daily High:
• Daily Low:
• Difference of Daily High & Low:

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Understanding the overall trend of the exchange rates

From the given data, we can see that the overall trend of the OMR exchange rate fluctuates slightly but stays relatively stable throughout the given period. The smallest value of the OMR exchange rate was 3.53736, while the highest was 3.55245. The exchange rate seemed to have minor fluctuations within this narrow range. These minor fluctuations suggest that the market experienced moderate volatility during the period. However, more data and deeper statistical analysis are needed to confirm this trend and its significance.

Identifying any seasonality or recurring patterns

As for seasonality or recurrent patterns, the available data in the given period does not appear to clearly indicate any. The OMR exchange rate, during the period, did not exhibit conspicuous upward or downward progressive trend. Furthermore, it has been difficult to pin down precisely recurring patterns as the exchange rate variability seems to occur fairly randomly over time. To derive any real seasonality in the data more extended period of data might be required, perhaps on a monthly or yearly basis.

Noting any outliers

Scrutinizing the provided data series, it doesn't seem that there are significant outliers – the majority of fluctuations are minor and within a predictable range. However, there are a few instances, such as at timestamp 2024-05-21 07:35:03, where the value of the exchange rate spikes to 3.54562, which represents a steep increase relative to surrounding figures. Similarly, at timestamp 2024-05-21 07:00:03, the exchange rate drops to a period low of 3.53736. Such instances may warrant further exploration to understand what caused these unusual movements, although they do not qualify as dramatic outliers given the overall volatility of the series.

Please note that this analysis is based purely on the quantitative data provided. It might be valuable, in further analysis, to correlate these findings with contributing external factors such as global economic indicators, geopolitical developments, or market sentiment indices. However, this was outside the scope of your current request.